Awin Global
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Senior Data Scientist & ML Engineer (f/m/d)
role at
Awin Global
As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, working closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads and building new batch and on‑demand pipelines to support advanced AI/ML models as well as contributing to the development of Generative AI solutions for the emerging Agentic Era.
Key Tasks
Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads.
Productionise LLM‑ and agent‑based workflows, ensuring reliability, observability, and performance.
Build and maintain feature stores, vector/embedding stores, and core data assets for ML.
Develop and manage end‑to‑end traditional ML pipelines: data prep, training, validation, deployment, and monitoring.
Implement data quality checks, drift detection, and automated retraining processes.
Optimise cost, latency, and performance across all AI/ML infrastructure.
Collaborate with data scientists and engineers to deliver production‑ready ML and AI systems.
Ensure AI/ML systems meet governance, security, and compliance requirements.
Mentor teams and drive innovation across both agentic and classical ML engineering practices.
Participate in team meetings and contribute to project planning and strategy discussions.
Education & Experience
Bachelor or Master’s degree in Data Science, Data Engineering, or Computer Science with a focus on math and statistics (Master’s preferred).
At least 5 years of experience as an AI/ML data engineer undertaking the tasks described above.
Strong foundation in computer science principles and statistical methods.
Experience with cloud technologies (AWS or Azure).
Experience creating data ingestion pipelines and ETL processes.
Knowledge of big‑data tools such as Spark, Databricks, and Python.
Understanding of common machine‑learning frameworks (e.g., MLflow).
Knowledge of natural language processing concepts.
Familiarity with Scrum practices and an agile mindset.
Skills & Core Competences
Strong analytical and problem‑solving skills with attention to data quality and accuracy.
Clear communication of technical concepts and effective collaboration across teams.
Adaptability to new technologies and a proactive approach to learning and growth.
Team‑oriented mindset, working closely with data scientists, AI engineers, and cross‑functional teams.
Openness to feedback and collective problem‑solving for continuous improvement.
Team player, willing to improve yourself.
Our Offer
Flexi‑Week and Work‑Life Balance: a flexible four‑day week at full pay with no reduction to your annual holiday allowance, plus various paid special leaves and volunteer days.
Remote Working Allowance: a monthly allowance to cover part of your running costs, and support in setting up your remote workspace.
Pension: access to an additional pension insurance for all employees in Germany.
Flexi‑Office: international culture and flexibility through a Flexi‑Office and hybrid/remote work model.
Development: a comprehensive training suite (Awin Academy) covering a wide range of skills for professional and personal growth.
Appreciation: peer‑to‑peer recognition program to thank and reward colleagues.
Established in 2000, Awin is proud of its dynamic, social, and inclusive culture.
Our virtual ‘Life @ Awin’ hub brings colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
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Senior Data Scientist & ML Engineer (f/m/d)
role at
Awin Global
As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, working closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads and building new batch and on‑demand pipelines to support advanced AI/ML models as well as contributing to the development of Generative AI solutions for the emerging Agentic Era.
Key Tasks
Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads.
Productionise LLM‑ and agent‑based workflows, ensuring reliability, observability, and performance.
Build and maintain feature stores, vector/embedding stores, and core data assets for ML.
Develop and manage end‑to‑end traditional ML pipelines: data prep, training, validation, deployment, and monitoring.
Implement data quality checks, drift detection, and automated retraining processes.
Optimise cost, latency, and performance across all AI/ML infrastructure.
Collaborate with data scientists and engineers to deliver production‑ready ML and AI systems.
Ensure AI/ML systems meet governance, security, and compliance requirements.
Mentor teams and drive innovation across both agentic and classical ML engineering practices.
Participate in team meetings and contribute to project planning and strategy discussions.
Education & Experience
Bachelor or Master’s degree in Data Science, Data Engineering, or Computer Science with a focus on math and statistics (Master’s preferred).
At least 5 years of experience as an AI/ML data engineer undertaking the tasks described above.
Strong foundation in computer science principles and statistical methods.
Experience with cloud technologies (AWS or Azure).
Experience creating data ingestion pipelines and ETL processes.
Knowledge of big‑data tools such as Spark, Databricks, and Python.
Understanding of common machine‑learning frameworks (e.g., MLflow).
Knowledge of natural language processing concepts.
Familiarity with Scrum practices and an agile mindset.
Skills & Core Competences
Strong analytical and problem‑solving skills with attention to data quality and accuracy.
Clear communication of technical concepts and effective collaboration across teams.
Adaptability to new technologies and a proactive approach to learning and growth.
Team‑oriented mindset, working closely with data scientists, AI engineers, and cross‑functional teams.
Openness to feedback and collective problem‑solving for continuous improvement.
Team player, willing to improve yourself.
Our Offer
Flexi‑Week and Work‑Life Balance: a flexible four‑day week at full pay with no reduction to your annual holiday allowance, plus various paid special leaves and volunteer days.
Remote Working Allowance: a monthly allowance to cover part of your running costs, and support in setting up your remote workspace.
Pension: access to an additional pension insurance for all employees in Germany.
Flexi‑Office: international culture and flexibility through a Flexi‑Office and hybrid/remote work model.
Development: a comprehensive training suite (Awin Academy) covering a wide range of skills for professional and personal growth.
Appreciation: peer‑to‑peer recognition program to thank and reward colleagues.
Established in 2000, Awin is proud of its dynamic, social, and inclusive culture.
Our virtual ‘Life @ Awin’ hub brings colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships is diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
#J-18808-Ljbffr